Rupsa Bhattacharjee, PhD
Associate Specialist
Radiology
School of Medicine

She obtained her doctoral degree in Biomedical Engineering working on Susceptibility weighted MR imaging (SWI) in human subjects with tumors and acute ischemic stroke. After graduation, in 2021, she joined the Musculoskeletal and Imaging Research Group at UCSF as post-doctoral fellow to study joint diseases with compositional MRI techniques combined with machine learning tools.

In her current role, she is specifically focused on exploring the role of MRI, PET, and machine learning algorithms to extract imaging biomarkers of several musculoskeletal conditions such as knee and hip osteoarthritis. Her primary project involvements are in, but not limited to: 1) Simultaneous Imaging of Tissue Biochemistry and Metabolism (PET-MRI) associated with Biomechanics in Patella Femoral Joint Osteoarthritis 2) Understanding the complex pathophysiology of joint degeneration, knee and hip joint interactions, impact of gait biomechanics, are all critical to determine the mechanistic basis of hip OA. 3) Ultra-Fast Knee MRI with Deep Learning She has worked as MRI Application Specialist in Philips Healthcare for 8 years, closely with various healthcare facilities to set up and optimize MRI scan acquisition parameters according to curtailed needs (1.5T & 3.0T). During her years in industry, she has partnered with Clinical scientists to jointly run MRI projects on test and trial basis in India market Philips MRI collaborative research centers. [New product introduction and First-of-kind trials: Compressed SENSE, Amide Proton Transfer, Ultra-short TE, Multi-Nuclei Spectroscopy, Spiral acquisition, Quantitative Susceptibility Mapping, IVIM, Elastography etc.] She has been an active part of Philips India AI-ambassadors team for AI based knowledge sharing and educational, collaborative approaches.

• Effects of T1p Characteristics of Load-Bearing Hip Cartilage on Bilateral Knee Patellar Cartilage Subregions: Subjects With None to Moderate Radiographic Hip Osteoarthritis.
  Journal of magnetic resonance imaging : JMRI 2023 Bhattacharjee R, Thahakoya R, Luitjens J, Han M, Roach KE, Jiang F, Souza RB, Pedoia V, Majumdar S
• K2S Challenge: From Undersampled K-Space to Automatic Segmentation.
  Bioengineering (Basel, Switzerland) 2023 Tolpadi AA, Bharadwaj U, Gao KT, Bhattacharjee R, Gassert FG, Luitjens J, Giesler P, Morshuis JN, Fischer P, Hein M, Baumgartner CF, Razumov A, Dylov D, Lohuizen QV, Fransen SJ, Zhang X, Tibrewala R, …
• Quantification of Radiomics features of Peritumoral Vasogenic Edema extracted from fluid-attenuated inversion recovery images in glioblastoma and isolated brain metastasis, using T1-dynamic contrast-enhanced Perfusion analysis.
  NMR in biomedicine 2022 Parvaze PS, Bhattacharjee R, Verma YK, Singh RK, Yadav V, Singh A, Khanna G, Ahlawat S, Trivedi R, Patir R, Vaishya S, Shah TJ, Gupta RK
• Radiomics-based evaluation and possible characterization of dynamic contrast enhanced (DCE) perfusion derived different sub-regions of Glioblastoma.
  European journal of radiology 2022 Bhattacharjee R, Singh A, Ahlawat S, Patir R, Vaishya S, Shah TJ, Gupta RK
• Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation.
  Neuroradiology 2022 Bhattacharjee R, Gupta M, Singh T, Sharma S, Khanna G, Parvaze SP, Patir R, Vaishya S, Ahlawat S, Singh A, Gupta RK
• Penumbra quantification from MR SWI-DWI mismatch and its comparison with MR ASL PWI-DWI mismatch in patients with acute ischemic stroke.
  NMR in biomedicine 2021 Bhattacharjee R, Gupta RK, Das B, Dixit VK, Gupta P, Singh A
• 2D Texture Analysis based approach for detection of Osteoporosis on 1.5T on T1-weighted MR images
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2021 Krishnan P, Shah TJ, Godkhindi A, Bhattacharjee R, Pichai SK, Krishnan A, Dave B, Saha I
• Differentiating hemorrhage and vasculature ITSS in SWI-magnitude images in intracranial Glioma: machine-learning and radiomic based approach
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2021 Bhattacharjee R, Gupta RK, Parvaze SP, Patir R, Vaishya S, Ahlawat S, Singh A
• Evaluating the role of T2-weighted-imaging in acute ischemic stroke to accelerate routine Stroke-MRI protocol
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2021 Dhawan S, Afshan I, Bhattacharjee R, Saha I
• Evaluating feasibility of high resolution T1-perfusion MRI with whole brain coverage using compressed SENSE: Application to glioma grading.
  European journal of radiology 2020 Sasi S D, Ramaniharan AK, Bhattacharjee R, Gupta RK, Saha I, Van Cauteren M, Shah T, Gopalakrishnan K, Gupta A, Singh A
• Differentiating lymphoma from grade-IV glioma using susceptibility weighted imaging based texture feature at 3T MRI
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2020 Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, Singh A.
• Penumbra Quantification from SWI visible Prominent Veins and its comparison with ASL-derived penumbra in patients with acute stroke
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2020 Bhattacharjee R, Gupta RK, Dixit VK, Gupta P, Singh A
• Evaluation of Gall Bladder Stones Using Susceptibility Weighted Imaging.
  Journal of computer assisted tomography 2019 Gupta RK, Neelavalli J, Gupta M, Ramaniharan AK, Sinha BK, Kriplani AK, Saini J, Verma RK, Verma MK, Bhattacharjee R, Saha I
• Quantitative vs. semiquantitative assessment of intratumoral susceptibility signals in patients with different grades of glioma.
  Journal of magnetic resonance imaging : JMRI 2019 Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, Singh A
• Comprehensive stroke protocol of less than six minutes: using Compressed-SENSE with valued addition of SWIp and Non-Contrast-3D-MRA
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2019 Bhattacharjee R, Raj RK, Verma RK, Gupta RK, Singh A
• Grading of glioma using a machine learning framework based on optimized features obtained from quantitative DCE-MRI and SWI
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2019 Kar B, Sengupta A, Bhattacharjee R, Vats N, Yadav V, Sasi D, Gupta RK, Singh A
• Quantitative intra-tumoral susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2019 Bhattacharjee R, Neelavalli J, Gupta M, Thakran S, Sasi D, Gupta RK, Singh A
• To Evaluate Effect of SENSE and CSENSE on Quantitative T1 and T2 mapping of Human Brain
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2019 Sasi D, Singh A, Bhattacharjee R, Debnath A, Thakran S, Gupta RK, Saha I, Van MC
• Quantitative Micro-Vasculature Volume Assessment of Intra Tumoral Susceptibility Signal (ITSS) in differentiating Grade-III from IV glioma
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2018 Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S, Singh A
• R2-Star & DCE-Perfusion MRI based Novel Approach for Classification of Intra Tumoral Susceptibility Signal (ITSS) into Haemorrhage, Non-Leaky Vessels and Leaky Vessels in Glioblastoma
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2018 Singh A, Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S
• Comparison of Signal intensity measures with absolute T1 value quantification in patients undergoing serial follow up imaging in patients with neurocysticercosis
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2016 Gupta PK, Sahoo P, Singh AK, Garg RK, Bhattacharjee R, Gupta RK
• Dynamic Contrast Enhanced perfusion MRI in pediatric brain tumors
  Proceedings of International Society of Magnetic Resonance Imaging in Medicine 2016 Bhattacharjee R, Sahoo P, Gupta PK, Gupta RK
• Brain Tumor Detection from MR Images: Image Processing, Slicing and PCA Based Reconstruction
  Proceedings published by IEEE, Computer Society of India.ISBN 978-1-4673-1825-9, IEEE Catalog Number.- CFP1272M-PRT 2012 Bhattacharjee R, Chakraborty M
• Exudates, Retinal and Statistical Features Detection from Diabetic Retinopathy and Normal Fundus Images : An Automated Comparative Approach
  Proceedings published by IEEE.ISBN 978-1-4673-2837-1, IEEE Catalog Number CFP1214T-PRT 2012 Bhattacharjee R, Chakraborty M
• LPG-PCA Algorithm and Selective Thresholding based Automated Method:ALL & AML Blast Cells Detection and Counting
  Proceedings published by IEEE. ISBN 978-1-4673-4698-6, IEEE Catalog Number.- CFP1207U-CDR 2012 Bhattacharjee R, Chakraborty M